When it comes to capturing and analyzing data, IT departments have more choices today than ever before. And choice is a good thing. However, in order to pick the right tool for the job, you need to ...

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...

Despite all the Big Data hype, a new survey of database deployments shows a traditional, structured relational database management system (RDBMS) still rules the corporate world. And it's not just a ...

The rise of new data types is leading to new ways of thinking about data, and newer data storage and management technologies, such as Hadoop, Spark, and NoSQL, are disruptive forces that may ...

Even though MongoDB and Cassandra keep winning converts, enterprises are keeping their RDBMSes around, and will do so for quite some time. NoSQL promised to upend the database market as big data ...

Nowadays, huge volumes of unstructured data are generated, and this cannot be restricted to standardized text inputs for the RDBMS. For example, every corporate entity has applications that generate ...

The healthcare industry is increasingly reliant on data to enhance patient care, optimize operational efficiency, and ensure regulatory compliance. Relational Database Management Systems (RDBMS) and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...